Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/54346
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Type: Conference paper
Title: KASSPER Analysis of 2.D Parametric STAP performance: Further results on time-varying autoregressive "Relaxations"
Author: Abramovich, Y.
Rangaswamy, M.
Corbell, P.
Johnson, B.
Spencer, N.
Citation: Proceedings of the 2008 International Conference on Radar, 2-5 September, 2008:pp.148-153
Publisher: IEEE
Publisher Place: CD
Issue Date: 2008
ISBN: 9781424423224
Conference Name: International Conference on Radar (2008 : Adelaide, Australia)
Editor: Bevan Bates
Statement of
Responsibility: 
Yuri I. Abramovich, Muralidhar Rangaswamy, Phillip M. Corbell, Ben A. Johnson and Nicholas K. Spencer
Abstract: We continue our investigation into the new class of two-dimensional autoregressive relaxed models (ldquorelaxationsrdquo) for space-time adaptive processing (STAP) applications. Previously reported results on the DARPA KASSPER simulated dataset for airborne side-looking radar are now complemented by STAP performance analysis for all range bins and varying antenna-array errors. We discuss the variability of signal-to-interference-plus-noise ratio (SINR) performance associated with the changing terrain conditions across all 1000 KASSPER range bins, and more closely investigate the impact of antenna errors and training data inhomogeneity. Performance improvements due to the previously proposed regularisation of the parametric models are also demonstrated in more detail.
Rights: Copyright © 2008 IEEE
DOI: 10.1109/RADAR.2008.4653908
Appears in Collections:Aurora harvest 5
Electrical and Electronic Engineering publications

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